Cart (Loading....) | Create Account
Close category search window
 

A quantitative study and estimation models for extensible instructions in embedded processors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Cheung, N. ; Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia ; Parameswaran, S. ; Henkel, J.

Designing extensible instructions is a computationally complex task, due to the large design space each instruction is exposed to. One method of speeding up the design cycle is to characterize instructions and estimate their peculiarities during a design exploration. In this paper, we study and derive three estimation models for extensible instructions: area overhead, latency, and power consumption under a wide range of customization parameters. System decomposition and regression analysis are used as the underlying methods to characterize and analyze extensible instructions. We verify our estimation models using automatically and manually generated extensible instructions, plus extensible instructions used in large real-world applications. The mean absolute error of our estimation models arc as small as: 3.4% (6.7% max.) for area overhead, 5.9% (9.4% max.) for latency, and 4.2% (7.2% max.) for power consumption, compared to estimation through the time consuming synthesis and simulation steps using commercial tools. Our estimation models achieve an average speedup of three orders of magnitude over the commercial tools and thus enable us to conduct a fast and extensive design space exploration that would otherwise not be possible. The estimation models are integrated into our extensible processor tool suite.

Published in:

Computer Aided Design, 2004. ICCAD-2004. IEEE/ACM International Conference on

Date of Conference:

7-11 Nov. 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.